LegalFlow

LegalFlow is an AI-powered legal document management system that helps legal professionals draft, extract information from, and analyze legal documents with ease.

Features

1. Document Drafting

• Multiple AI model support (Gemini Pro, OpenRouter models)
• Template-based document generation
• Custom instructions and context support
• Support for various legal document types:
  • Writ Affidavit
  • Shareholders' Agreement
  • Share Subscription Agreement
  • Board Resolution
  • Memorandum of Association
  • Articles of Association
  • Non-Disclosure Agreement
  • ROC Filling Forms
  • Legal Notice

2. Information Extraction

• Extract key information from legal documents:
  • Dates and Events
  • Timeline analysis
  • Critical deadlines
  • Legal requirements
• Multiple AI model support for accurate extraction
• Structured JSON output for easy integration

3. Document Analysis

• AI-powered document analysis
• Multiple model support for diverse analysis capabilities
• Custom analysis instructions

Technology Stack

• Frontend: Next.js 14, React, TypeScript, Tailwind CSS
• Backend: Next.js API Routes
• AI Integration:
  • Google Gemini Pro (Direct API)
  • OpenRouter API (Multiple Models)
• Database: Railway (PostgreSQL)
• Authentication: [To be implemented]

Getting Started

1. Clone the repository:

git clone https://github.com/yourusername/legalflow.git
cd legalflow

2. Install dependencies:

npm install

3. Set up environment variables:

cp .env.example .env.local

Required environment variables:

• GOOGLE_API_KEY: For Gemini Pro API
• OPENROUTER_API_KEY: For OpenRouter API access
• DATABASE_URL: Railway PostgreSQL connection string

4. Run the development server:

npm run dev

5. Open http://localhost:3000 in your browser.

API Documentation

Document Generation

• POST /api/draft
  • Generate legal documents using AI models
  • Supports multiple model types and templates

Information Extraction

• POST /api/extract
  • Extract dates, events, and other key information
  • Structured JSON output
  • Multiple model support

Document Analysis

• POST /api/analyze
  • AI-powered document analysis
  • Custom analysis parameters

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• OpenAI for GPT models
• Google for Gemini Pro
• OpenRouter for model access
• All contributors and users of LegalFlow